Detection systems

Despite the rising interest in developing grammatical error detection systems for non-native speakers of English, progress in the ﬁeld has been hampered by a lack of informative metrics and an inability to directly compare the performance of systems developed by different researchers. In this paper we address these problems by presenting two evaluation methodologies, both based on a novel use of crowdsourcing.

The heart of any system that simulates the physical interaction between objects is collision detection-the ability to detect when two objects have come into contact. This system is also one of the most difficult aspects of a physical simulation to implement correctly, and invariably it is the main consumer of CPU cycles. Practitioners, new to the field or otherwise, quickly discover that the attempt to build a fast, accurate, and robust collision detection system takes them down a long path fraught with perils and pitfalls unlike most they have ever encountered.

This chapter builds on the introductory discussions of intrusion detection systems (IDSs)
presented in Chapter 3, "Understanding Defenses." This chapter delves into IDS
concepts, uses, applications, and limitations. After the introduction to IDSs, their
deployment and analysis are discussed in more detail. The concluding case study is a
practical example of how organizations can inspect and monitor overall network activity
using IDSs to protect their assets.

This paper describes a Verb Phrase Ellipsis (VPE) detection system, built for robustness, accuracy and domain independence. The system is corpus-based, and uses machine learning techniques on free text that has been automatically parsed. Tested on a mixed corpus comprising a range of genres, the system achieves a 70% F1-score. This system is designed as the ﬁrst stage of a complete VPE resolution system that is input free text, detects VPEs, and proceeds to ﬁnd the antecedents and resolve them. ...

This chapter describes the functions and operations of intrusion detection systems (IDS) and intrusion prevention systems (IPS). It explains the underlying IDS and IPS technology embedded in the Cisco IOS IPS solutions. It describe the use of signatures, the need for IPS alarm monitoring, and the design considerations in deploying IPS.

To understand an entity’s internal control, the auditor will evaluate the design and implementation of a control.
The auditor's primary consideration is whether, and how, a specific control prevents, or detects and corrects, material misstatements in classes of transactions, account balances or disclosures.
The heaviest emphasis by auditors is on controls over classes of transactions rather than account balances or disclosures

This book is intended for courses at least at Masters level to provide an introduction
to the field of signal processing in telecommunications. The text therefore
deals mainly with source coding, channel coding, modulation and demodulation.
Adaptive channel equalisation, the signal processing aspects of adaptive antennas
as well as multi-user detectors for CDMA are also included. Shorter sections on
link budget, synchronising and cryptography are also included. Network aspects
are not discussed and very little is given about wave propagation.

Cognitive radio is a hot research area for future wireless communications in the recent years. In order to increase the spectrum utilization, cognitive radio makes it possible for unlicensed users to access the spectrum unoccupied by licensed users. Cognitive radio let the equipments more intelligent to communicate with each other in a spectrum-aware manner and provide a new approach for the co-existence of multiple wireless systems.

The book is an edited collection of research articles covering the current state of sonar systems, the signal processing methods and their applications prepared by experts in the field. The first section is dedicated to the theory and applications of innovative synthetic aperture, interferometric, multistatic sonars and modeling and simulation.

The current structure of the chapters reflects the key aspects discussed in the papers but the papers themselves contain more additional interesting information: examples of a practical application and results obtained for existing networks as well as results of experiments confirming efficacy of a synergistic analysis of anomaly detection and signature detection, and application of interesting solutions, such as an analysis of the anomalies of user behaviors and many others.

Event Ordering Mutual Exclusion Atomicity Concurrency Control Deadlock Handling Election Algorithms Reaching Agreement
To describe various methods for achieving mutual exclusion in a distributed system To explain how atomic transactions can be implemented in a distributed system To show how some of the concurrency-control schemes discussed in Chapter 6 can be modified for use in a distributed environment To present schemes for handling deadlock prevention, deadlock avoidance, and deadlock detection in a distributed system...

Today, space technology is used as an excellent instrument for Earth observation applications. Data is collected using satellites and other available platforms for remote sensing. Remote sensing data collection detects a wide range of electromagnetic energy which is emitting, transmitting, or reflecting from the Earth's surface. Appropriate detection systems are needed to implement further data processing. Space technology has been found to be a successful application for studying climate change, as current and past data can be dynamically compared.

As already stated, a road vehicle on pneumatic tires cannot maintain a given trajectory under the eﬀect of external perturbations unless managed by some control device, which is usually a human driver. Its stability solely involves such state variables as the sideslip angle β and the yaw velocity r. In the case of two-wheeled vehicles the capsize motion is intrinsically unstable forcing the driver not only to control the trajectory but stabilize the vehicle. A possible scheme of the vehicle-driver system is shown in Fig. 27.1.